Instructions to use hssling/derm-analyzer-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hssling/derm-analyzer-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "hssling/derm-analyzer-adapter") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hssling/derm-analyzer-adapter: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/hssling/derm-analyzer-adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://hssling/derm-analyzer-adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hssling/derm-analyzer-adapter/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 750807020ae120f89430977f713c8cd471ba0299acaf160739db92bb12dcbc6f
- Size of remote file:
- 11.4 MB
- SHA256:
- 98f27bbd4907d0dddf4a6025d3fe25f70e70cbd3a208e6d8b8e319d9fcba9eb6
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